@article{ref1,
title="Identifying factors that predict longitudinal outcomes of untreated common mental disorders",
journal="Psychiatric services",
year="2014",
author="Henriksen, Christine Anne and Stein, Murray B. and Afifi, Tracie O. and Enns, Murray and Lix, Lisa M. and Sareen, Jitender",
volume="66",
number="2",
pages="163-170",
abstract="OBJECTIVE: Historically, meeting criteria for a mental disorder has been used as a proxy for the need for mental health services, yet research suggests that a significant proportion of disorders remit without treatment. In this study, risk factors for poor longitudinal outcomes of individuals with untreated common mental disorders were determined, with the goal of identifying individuals with unmet need and informing the development of targeted interventions. <br><br>METHODS: Data came from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a longitudinal, nationally representative survey of the adult U.S. population (age  METHODS: ≥18; N=34,653). Respondents were assessed for past-year depressive, anxiety, and substance use disorders and mental health service use via face-to-face interviews conducted at two time points, three years apart. Among respondents without a history of mental health treatment, logistic regression an METHODS: alyses examined factors associated with persistence of the disorder, comorbidity, or suicide attempt (that is, presence of any axis I disorder in the past year at wave 2 or any suicide attempt during the follow-up) versus spontaneous recovery of baseline disorders. <br><br>RESULTS: Certain sociodemographic factors, comorbid mental disorders at baseline (such as three or more axis I disorders, adjusted odds ratio [AOR]=1.64, 95% confidence interval [CI]=1.27-2.12), and childhood maltreatment (AOR=1.47, CI=1.23-1.75) were predictors of disorder persistence, comorbidity, or suicide attempt in depressive, anxiety, and substance use disorders during the follow-up. <br><br>CONCLUSIONS: In addition to considering the presence of a mental disorder, policy makers should consider other variables, such as childhood maltreatment and comorbidity, in estimating treatment need.<p /> <p>Language: en</p>",
language="en",
issn="1075-2730",
doi="10.1176/appi.ps.201300564",
url="http://dx.doi.org/10.1176/appi.ps.201300564"
}